Working With Microsoft Cognitive Toolkit (CNTK)

Microsoft Cognitive Toolkit (CNTK)    |    Expert
  • 16 Videos | 58m 36s
  • Includes Assessment
  • Earns a Badge
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Microsoft Cognitive Toolkit (CNTK) is an open source framework for distributed deep learning suitable for commercial applications. It's primarily used to develop neural networks but can also be used for machine learning and cognitive computing. It supports multiple languages and can easily be used in the cloud. These factors make CNTK a good fit for various AI projects. In this course, you'll explore the basic concepts required to work with Microsoft CNTK. You'll compare other frameworks with CNTK, examine the process of creating machine learning and deep learning models with CNTK, and learn how it can be used with several cloud services. You'll move on to learn where to access CNTK documentation, community, and installation guidelines. Finally, you'll use CNTK to predict diabetes using retina scans.

WHAT YOU WILL LEARN

  • discover the key concepts covered in this course
    describe the Microsoft Cognitive Toolkit framework and examine the main ideas behind its use
    specify how CNTK facilitates cognitive computing
    determine how CNTK facilitates deep learning
    identify the benefits of using the CNTK toolkit
    identify the primary approaches to implementing AI using Python and CNTK
    specify how CNTK can be used with other languages such as C/C++, Java, .Net, and C#
    compare CNTK with other frameworks and classify the advantages and disadvantages of CNTK
  • outline the process of creating machine learning models using CNTK
    outline the process of building deep learning models using CNTK
    specify how CNTK can be used in combination with cloud services
    find key documents and resources for in-depth information about the CNTK framework
    recognize how to work with the CNTK community on new updates and new releases
    troubleshoot CNTK installation on Windows and Linux
    use the CNTK framework to develop an AI-based diabetes predictor which utilizes retina scans
    summarize the key concepts covered in this course

IN THIS COURSE

  • Playable
    1. 
    Course Overview
    2m 21s
    UP NEXT
  • Playable
    2. 
    Microsoft Cognitive Toolkit (CNTK)
    3m 28s
  • Locked
    3. 
    Microsoft’s Cognitive Computing
    6m 10s
  • Locked
    4. 
    AI at Microsoft: Deep Learning
    2m 11s
  • Locked
    5. 
    Benefits of Using CNTK
    3m 14s
  • Locked
    6. 
    Python API for CNTK
    3m 40s
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    7. 
    CNTK: Support for Other Languages
    4m 55s
  • Locked
    8. 
    CNTK vs. Other Frameworks
    3m 28s
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    9. 
    Machine Learning With CNTK
    3m 1s
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    10. 
    Deep Learning With CNTK
    3m 11s
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    11. 
    CNTK and Cloud (AWS, GCP, and Azure)
    4m 20s
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    12. 
    CNTK Documentation and Tutorials
    53s
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    13. 
    CNTK Community
    1m 35s
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    14. 
    CNTK Installation (Windows and Linux)
    4m 19s
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    15. 
    Predicting Diabetes Using Retina Scans
    3m 59s
  • Locked
    16. 
    Course Summary
    51s

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